AI and The Postal Network

AI and The Postal Network

Kevin Seller, VP Sales EMEA at Escher, on applications for artificial intelligence in the postal sector:

  • The basic principles of artificial intelligence and machine learning
  • Some current non-postal applications for AI
  • Optimising operation and performance of retail stores and improving the customer experience
  • Harnessing the huge amount of data available in the business
  • Making an optimum post office network
  • Why would a post want to invest in AI?
  • Managing and analysing staffing patterns
  • How does a postal operator get started with AI?
  • Build vs buy in AI solutions
    • Strategy
    • Competition for talent
    • Collect and clean data
    • Develop algorithms
    • Testing
    • Timeframes and cost
  • Some potential outcomes of implementing AI across the postal network
  • Transforming and being competitive – and driving efficiencies
  • Scalability of AI solutions

Click here to visit the Escher Group website.

Listen to the podcast by clicking on the play button on the audio player above (may take a few seconds to load and start playing). You can also listen (and subscribe) to the podcast via Google Podcasts, iTunes, and Spotify.

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The Postal Hub Podcast is the weekly podcast for the global postal and delivery sectors. For more information, visit the Postal Hub Podcast website at thepostalhub.com.

Follow the Postal Hub on Twitter and LinkedIn.

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Escher

Escher powers the world’s first and last mile deliveries, helping Posts connect nearly 1 billion consumers with global ecommerce networks. Postal operators rely on Escher to deliver an enhanced retail and digital customer experience, to activate new revenue streams, and to realize new delivery economics. […]

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The Mail & Express Review (MER) Magazine is our quarterly print publication. Packed with original content and thought-provoking features, MER is a must-read for those who want the inside track on the industry.

 

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